Scott Alexander examines optimistic and pessimistic scenarios for AI risk, weighing the potential for intermediate AIs to help solve alignment against the threat of deceptive 'sleeper agent' AIs. Longer summary

Scott Alexander discusses the varying estimates of AI extinction risk among experts and presents his own perspective, balancing optimistic and pessimistic scenarios. He argues that intermediate AIs could help solve alignment problems before a world-killing AI emerges, but also considers the possibility of 'sleeper agent' AIs that pretend to be aligned while waiting for an opportunity to act against human interests. The post explores key assumptions that differentiate optimistic and pessimistic views on AI risk, including AI coherence, cooperation, alignment solvability, superweapon feasibility, and the nature of AI progress. Shorter summary

Scott Alexander explores various COVID-19 topics including lockdown effectiveness, infection rate variations, transmission risks, prediction markets, and ethical considerations of pandemic response. Longer summary

This post covers various aspects of the COVID-19 pandemic, including lockdown effectiveness, heterogeneity in infection rates across countries, transmission risks, prediction markets, and ethical considerations. Scott discusses cell phone data showing limited impact of official lockdowns, explores reasons for varying infection/mortality rates between countries, and highlights the role of speaking/singing in virus transmission. He also examines coronavirus prediction markets, questions the long-term sustainability of lockdowns, and ponders how to quantify the severity of COVID-19 deaths compared to other causes. The post concludes with numerous short updates and links on coronavirus-related topics. Shorter summary